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Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study
Many planning and decision activities in logistics and supply chain management are based on forecasts of multiple time dependent factors.
Dataset Bias in Human Activity Recognition
It is unknown what physical characteristics and/or soft-biometrics, such as age, height, and weight, need to be taken into account to train a classifier to achieve robustness towards heterogeneous populations in the training and testing data.
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones?
Tree-based ensembles such as the Random Forest are modern classics among statistical learning methods.
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